Hu Na, Cong Bin, Li Shujin, Ma Chunling, Fu Lihong, Zhang Xiaojing
Hebei Key Laboratory of Forensic Medicine, Department of Forensic Medicine, Hebei Medical University, Shijiazhuang, Hebei 050017, P.R. China.
Biomed Rep. 2014 May;2(3):309-316. doi: 10.3892/br.2014.232. Epub 2014 Jan 28.
A number of recent improvements have provided contemporary forensic investigations with a variety of tools to improve the analysis of mixed DNA samples in criminal investigations, producing notable improvements in the analysis of complex trace samples in cases of sexual assult and homicide. Mixed DNA contains DNA from two or more contributors, compounding DNA analysis by combining DNA from one or more major contributors with small amounts of DNA from potentially numerous minor contributors. These samples are characterized by a high probability of drop-out or drop-in combined with elevated stutter, significantly increasing analysis complexity. At some loci, minor contributor alleles may be completely obscured due to amplification bias or over-amplification, creating the illusion of additional contributors. Thus, estimating the number of contributors and separating contributor genotypes at a given locus is significantly more difficult in mixed DNA samples, requiring the application of specialized protocols that have only recently been widely commercialized and standardized. Over the last decade, the accuracy and repeatability of mixed DNA analyses available to conventional forensic laboratories has greatly advanced in terms of laboratory technology, mathematical models and biostatistical software, generating more accurate, rapid and readily available data for legal proceedings and criminal cases.
最近的一些改进为当代法医调查提供了多种工具,以改进刑事调查中混合DNA样本的分析,在性侵犯和杀人案件的复杂微量样本分析方面取得了显著进展。混合DNA包含来自两个或更多贡献者的DNA,通过将来自一个或多个主要贡献者的DNA与来自潜在众多次要贡献者的少量DNA相结合,使DNA分析变得复杂。这些样本的特点是存在高概率的基因丢失或基因插入,同时伴有较高的拖尾现象,显著增加了分析的复杂性。在某些位点,次要贡献者的等位基因可能会由于扩增偏差或过度扩增而完全被掩盖,从而造成存在其他贡献者的假象。因此,在混合DNA样本中估计贡献者的数量并分离给定位点上贡献者的基因型要困难得多,这需要应用专门的协议,而这些协议直到最近才广泛商业化并标准化。在过去十年中,传统法医实验室可用的混合DNA分析的准确性和可重复性在实验室技术、数学模型和生物统计软件方面有了很大提高,为法律程序和刑事案件生成了更准确、快速且易于获取的数据。